Using Mobile Operators’ Data to Locate, Protect and Evacuate Tourists and Other Vulnerable Groups in Disasters

This case study will explore how mobile data can be used to protect, locate and evacuate tourists.

Type of disaster addressed:  Sudden natural and man-made disasters are particularly risky for visitors and tourists. Locating people that have no understanding of local circumstances and are unable to act rationally must be done swiftly and determinedly to protect them and avoid public chaos.
Type of danger addressed: Irrational, chaotic behaviours; lack of evacuation capacity

Special vulnerable groups: Visitors, tourists; especially tourists with children and the elderly

Other groups / communities: Local residents under threat; travel operators; local authorities

Tools or technologies used: Usage of mobile positioning data and algorithms forecasting population’ locations, mobility patterns and demand for aid and relief, rapid evacuation mobilisation, and trajectories for emergency proliferation
Method of analysis: Scenarios and simulations using mobile positioning data, workshops, twinning
Real-life condition:

Reuters/Kanupriya Kapoor reported on August 6, 2018:

Michelle Thompson, an American holidaying on one of the Gilis, described a scramble to get on boats leaving for the main island during which her husband was injured. “People were just throwing their suitcases on board and I had to struggle to get my husband on, because he was bleeding,” she said.

BNPB spokesman Sutopo Purwo Nugroho said emergency units in its hospitals were overflowing and some patients were being treated in parking lots.

Beneficiaries: Tourists, travel agents, tourism industry, local authorities, insurance companies, companies with adoptable technologies

Innovation outcomes: Practical innovation derived from application of technology for improved risk assessment and swift reactions

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